Off-campus UMass Amherst users: To download campus access dissertations, please use the following link to log into our proxy server with your UMass Amherst user name and password.
Non-UMass Amherst users: Please talk to your librarian about requesting this dissertation through interlibrary loan.
Dissertations that have an embargo placed on them will not be available to anyone until the embargo expires.
Author ORCID Identifier
Campus-Only Access for Five (5) Years
Doctor of Philosophy (PhD)
Electrical and Computer Engineering
Year Degree Awarded
Month Degree Awarded
Artificial Intelligence and Robotics | Software Engineering | Theory and Algorithms
In this dissertation, we introduce comprehensive validation frameworks for indoor navigation systems for blind and visually impaired (BVI) users that include: 1) rigorous virtual reality based system validation framework used during system development obtained by building a virtual environment and virtual user that reflects BVI user capabilities, 2) spatial-temporal-textual framework that provides a detailed analysis of spatial-temporal user comments collected from the BVI users during the trials, and 3) The simulation framework that provides cost-effective means to evaluate indoor navigation systems for different user groups (e.g., users with visual impairment), various positioning techniques, and navigation instructions algorithms. To the best of our knowledge, these are the first frameworks developed and tested for this purpose. The proposed frameworks constitute a significant step towards the development of cost-effective indoor wayfinding solutions for BVI users. These frameworks are demonstrated using the PERCEPT indoor navigation system for BVI users.
Tao, Yang, "Validation and Optimization Framework for Indoor Wayfinding for Visually Impaired Users" (2020). Doctoral Dissertations. 1914.